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Supermetrics Alternatives

The best Supermetrics alternatives in 2026, ranked by which constraint you actually hit — the single-destination limit, the per-source cost that triples between tiers, or the Enterprise-only warehouse boundary. Pricing verified 2026-08-12.

Supermetrics is the default answer to "get my ad platform data into a spreadsheet or dashboard", and for a single-destination, low-connector setup it is genuinely inexpensive at $49/month.

People leave it for one of three specific reasons, and which one you hit determines which alternative is right. Picking by feature list rather than by constraint is how teams end up migrating to something that has the same limit under a different name.

All pricing below was verified on 2026-08-12 against each vendor's own pricing page. Third-party summaries of Supermetrics pricing are frequently stale.

The Three Limits People Actually Hit

1. The single-destination limit

Every published tier includes one core destination. Not one type — one. Starter, Growth and Pro all include a single choice from ChatGPT, Claude, Microsoft Copilot, Looker Studio, Google Sheets, Excel and Power BI. Each extra destination is +$62/month, capped at two.

"Looker Studio for clients, Google Sheets internally" is an ordinary setup and it is a two-destination requirement. That team's real entry price is $111/month, not $49.

2. The per-source cost that triples

TierPriceSourcesCost per source
Starter$493$16.33
Growth$1997$28.43
Pro$49910$49.90

Most metered software gets cheaper per unit as you scale. This gets three times more expensive. You are buying refresh frequency, seats and API allowance alongside those connectors — but if connector count is why you are upgrading, you are climbing the worst axis of the pricing model.

3. The Enterprise-only warehouse boundary

BigQuery and Snowflake are not available on Starter, Growth or Pro at any add-on price. If your pipeline ends in a warehouse, there is no published-pricing path — you are in a custom quote on day one regardless of volume.

That is an architectural boundary, not a capacity one, and it is the most common reason a growing data team leaves.

What You'd Be Leaving Behind

Worth stating plainly before the list, because Supermetrics is a mature product and the alternatives are not uniformly better:

  • Connector breadth and reliability. Supermetrics has been doing this since 2013. Schema changes on the platform side get handled, usually quietly. Newer vendors are cheaper partly because they carry less of this maintenance burden.
  • Native destination integration. The Google Sheets and Looker Studio integrations are first-class, not a generic API wrapper.
  • A 14-day free trial with no credit card, covering any connector or destination — genuinely useful for validating a specific data source before committing.
  • AI credits on every tier (4,000 / 12,000 / 18,000 per month), reflecting the pivot toward LLM destinations like ChatGPT and Claude as first-class outputs. Few competitors ship this yet.

The Ranked List

1. Soku — when the constraint is the decision, not the pipeline

Best for: teams whose reporting is already current and still not driving changes.

Soku is not a connector vendor and does not compete on source count. It connects to Meta Ads, Google Ads, TikTok Ads, GA4 and the rest, then answers questions about the account and proposes actions — the layer that sits after the data has landed.

The reason it belongs on this list at all is that a large share of Supermetrics migrations are misdiagnosed. The team is frustrated that reporting takes too long, concludes the pipeline is the problem, moves vendor, and six months later has the same dashboards arriving slightly cheaper with nobody acting on them. If a decision was not made last month because of something a dashboard showed, the pipeline was never the binding constraint.

Where it does not fit: if you genuinely need 40 connectors feeding a warehouse for a BI team, this is not that product. Buy the pipeline.

2. Windsor.ai — the direct per-source substitute

Best for: teams leaving over cost per connector or seat count.

The structural difference is that Windsor includes all data sources and destinations on every plan and meters only how many you use, plus unlimited users from the Basic tier up.

Windsor.aiSupermetrics
3 sourcesBasic $23/moStarter $49/mo
7 sourcesStandard $118/mo, unlimited users, daily/hourlyGrowth $199/mo, 2 users, daily
10 sourcesPlus $299/moPro $499/mo, 3 users
14 sourcesProfessional $598/mo, 15-min sync
Free tierForever Free: 1 source, 1 account, 1 user14-day trial only

At the 7-source comparison point Windsor is $81/month cheaper with more seats and faster sync. That is not a rounding difference.

Where it does not fit: the trade is maturity. Verify your specific connectors against your specific accounts during the free plan before committing.

3. Funnel.io — when you need export destinations without an Enterprise quote

Best for: mid-market teams that have outgrown spreadsheet destinations.

Funnel publishes Starter from $300/month (121 connectors, Looker Studio / Sheets / Excel) and Business from $600/month (579 connectors, 26 export solutions, Data Hub). Enterprise is custom.

The relevant contrast: Funnel puts export destinations on a published tier. Supermetrics puts warehouses behind a sales conversation. If your blocker is specifically the warehouse boundary and you want a price you can read on a page, Funnel answers that at $600/month.

Where it does not fit: the entry price is 6× Supermetrics Starter. Below roughly ten connectors this is not a cost decision, it is a capability one.

4. Fivetran and warehouse-native ELT — when the warehouse is the point

Best for: teams with a data engineer and a warehouse already in production.

If the destination is BigQuery or Snowflake and the consumers are BI tools sitting on top, a marketing-connector vendor is the wrong shape of product. Warehouse-native ELT handles marketing sources as one class among many and does not treat the warehouse as a premium tier.

Where it does not fit: there is no Google Sheets story here. If a marketer needs to pull last week's numbers into a spreadsheet themselves, this pushes that through a data team.

5. Porter Metrics — the cheapest honest swap

From $15/mo. Best for small agencies reporting entirely in Looker Studio.

If Looker Studio is the only destination that will ever matter, tools built specifically for it undercut a general connector platform, because you are not paying for the abstraction that lets the destination change.

Where it does not fit: the moment a client asks for the same data in a spreadsheet, the saving disappears.

6. Coupler.io — connector with a transformation step

From $32/mo. Best for teams that need to reshape data before it lands, not just move it.

Sits between a pure connector and a pipeline tool. Useful when the reason your reporting is slow is that someone is doing the same manual reshaping every week.

7. AgencyAnalytics — the agency reporting default

From $59/mo. Best for agencies whose deliverable is a client-facing report rather than a dataset.

Different product category, frequently the real answer. If what you actually need is white-labelled recurring client reports, buying a connector and building them yourself is the expensive route.

8. Whatagraph — templated reporting at volume

From ~$270/mo. Best for agencies past the point where report assembly is the bottleneck.

9. Databox — KPI tracking beyond paid media

From $199/mo. Best when paid media is one of several data domains on the same dashboard.

10. Improvado — enterprise ETL with governance

From ~$3,400/mo. Best for large organisations where data governance, not connector count, is the requirement.

Also worth knowing

Dataslayer (from $39/mo) and Power My Analytics (from ~$49.95/mo) are further budget options in the same layer as Porter. Adverity and Fivetran sit at the pipeline layer, both quote-driven — Fivetran prices on monthly active rows and may carry separate dbt Cloud costs. Stitch starts around $100/mo. Airbyte is the open-source route: free software, real engineering time. Coefficient is worth a look if the spreadsheet itself is the product rather than a destination.

How To Choose In One Pass

Answer these three and the list collapses to one or two options:

  1. How many destinations? More than one → the $62/month add-on is your baseline cost, and destination-inclusive vendors win immediately.
  2. Does the pipeline end in a warehouse? Yes → Supermetrics is Enterprise-only for you. Funnel Business or warehouse-native ELT.
  3. Is anything actually changing because of the reports? No → the pipeline is not your constraint. Fix the decision layer before you re-plumb.

If the answers are "one destination, no warehouse, yes decisions get made", stay on Supermetrics. At $49/month for three connectors into one destination it is hard to beat, and migration costs more than the difference.

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